Digital display welding mask with long-exposure image capture

ABSTRACT

Welding cameras, welding helmets, welding masks, and associated display systems are described herein that utilize darkening or attenuating filters in conjunction with long-exposure imaging to capture flicker-free video of a welding process. Example embodiments include one or more of a darkening filter, an image sensor to capture long-exposure images as frames of a video, an optical image stabilization subsystem, a data storage to store video, and an electronic display to display the video. For example, captured images may be displayed on an electronic display within the welding mask without risk of overexposure of ultraviolet radiation to the operator. In some examples, dual electronic displays are used to display different images to each eye of the operator to provide a stereoscopic video feed.

RELATED APPLICATIONS

This application claims priority to U.S. Provisional Patent Application No. 63/009,944 titled Digital Display Welding Helmet with Long-Exposure Image Capture, filed Apr. 14, 2020, which is hereby incorporated by reference in its entirety.

TECHNICAL FIELD

This disclosure relates to welding helmets and welding videography. In particular, this disclosure relates to video recording of welding activities and welding helmets that utilize an internal electronic display to display a work area to an operator of welding equipment.

BRIEF DESCRIPTION OF THE DRAWINGS

This disclosure includes illustrative embodiments that are non-limiting and non-exhaustive. Reference is made to certain of such illustrative embodiments that are depicted in the figures described below.

FIG. 1 illustrates a block diagram of example welding mask components, subsystems, and modules, according to one embodiment.

FIG. 2A illustrates an example of a welding mask receiving optical radiation during the welding of a workpiece, according to one embodiment.

FIG. 2B illustrates an expanded view of three functional layers of a welding mask, according to various embodiments.

FIG. 2C illustrates a block diagram of three functional layers of a welding mask, according to various embodiments.

FIG. 3A illustrates a functional block diagram of a welding mask with long-exposure image capture and an electronic display, according to various embodiments.

FIG. 3B illustrates a functional block diagram of a welding mask with long-exposure image capture and dual, digital displays, according to various embodiments.

FIG. 4 illustrates a welding mask with multiple cameras that each include three functional layers, according to one embodiment.

FIG. 5A illustrates a multi-camera welding mask with a connected remote camera, according to one embodiment.

FIG. 5B illustrates a composite video generated by the multi-camera welding mask, according to one embodiment.

FIG. 5C illustrates an augmented composite video generated by the multi-camera welding mask with one hand of the operator shown partially transparent, according to one embodiment.

FIG. 5D illustrates an augmented composite video with the hands of the operator removed from the workpiece, according to one embodiment.

FIG. 6A illustrates examples of exposure times for capturing frames of a video, according to various embodiments.

FIG. 6B illustrates additional examples of exposure times for capturing frames of a video, according to various embodiments.

FIG. 6C illustrates additional examples of exposure times for capturing frames of a video, according to various embodiments.

FIG. 6D illustrates additional examples of exposure times for capturing frames of a video, according to various embodiments.

FIG. 7 illustrates an example internal view of a welding mask with dual electronic displays, according to one embodiment.

FIG. 8 illustrates an augmented video generated by the welding mask with informational overlay elements, according to one embodiment.

DETAILED DESCRIPTION

According to various embodiments of the presently described systems and methods, a welding mask is described that includes a camera subsystem to capture images with relatively long exposure, and a darkening layer to attenuate light prior to image capture. For example, each frame of a video may be captured with an exposure time that is longer than one-half of a weld light intensity cycle of a welding machine, such as a TIG welder, a MIG welder, or other type of welder. The darkening filter facilitates the long-exposure image captures by preventing overexposure. An optical image stabilization system (e.g., lens-based, software-based, or sensor-based) may be utilized to reduce or eliminate motion blur due to movement of the welding mask during the relatively long exposure time. Additional context, variations, and details of such a system are provided below.

Welding masks (including welding faceplates, helmets, hardhats, etc.) may be manufactured using plastic injection, plastic molding, metals, three-dimensional printing, computerized numerical control (“CNC”) processes, etc. Traditional welding helmets include a window through which an operator may view the welding workplace. As used herein, the term “operator” encompasses individuals using the welding equipment (e.g., a welder) and users watching someone else using the welding equipment.

Thus, the presently described systems and methods apply to and may be incorporated as part of welding masks or another welding protection device used by a person welding or by other individuals nearby. Similarly, the presently described systems and methods may be incorporated as part of a video system to record the welding process. Any of the various described systems and methods may also be adapted for use in automated, robotic, or artificial intelligence (AI)-based welding systems. For instance, a video system of a robotic welding device may utilize the systems and methods described herein to generate an improved video feed for use by the robotic welding device. Accordingly, the term “welding mask” is understood to encompass any of a wide variety of protection and/or digital imaging devices used by an operator of a welder, bystanders, and/or robotic or other automated welding systems that may or may not need the protective elements of a welding mask.

As noted above, traditional welding helmets include a window with a darkening filter to reduce the intensity of the optical radiation generated by the workplace and/or reduce or even eliminate certain wavelengths (e.g., dangerous ultraviolet wavelengths and/or infrared wavelengths in the form of heat). Static or fixed darkening filters may make it easier and safer to view the workspace during a welding process. However, the static or fixed darkening filter may decrease the transmission of light to such an extent that the operator may not be able to see through the window when the operator is not welding. Some welding helmets include a pivotable window portion allowing the operator to raise the window when the operator is not welding, and lower the window into place when the operator is welding.

Some welding helmets include auto-darkening filers (ADFs) that detect or respond to the increased optical radiation generated during welding (e.g., increased UV transmission). When the operator is not welding, the window may transmit sufficient light to allow the operator to view the workspace. When the operator begins welding, the window may respond by darkening and decreasing the transmissivity to a sufficient degree to protect the operator from overexposure and/or harmful wavelengths.

Static darkening filters may be cumbersome to use because they require the operator to reposition the welding mask in place to protect the operator each time the welding equipment is used. Automatic darkening filters respond to the instantaneous increase in optical radiation (or at least some wavelengths of increased optical radiation) when the welding equipment is used. Even when measured in microseconds or milliseconds, the response time delay of existing automatic darkening filters may expose the operator to bright light and/or harmful wavelengths for a brief period of time.

According to various examples of the presently described systems and methods, the window of a welding helmet may be replaced with a camera subsystem and electronic display system. Specifically, the welding helmet may include a darkening filter to reduce the intensity of incident optical radiation and/or filter target wavelengths (e.g., ultraviolet and/or infrared wavelengths). In some embodiments, multiple darkening filters may be utilized. In some embodiments, automatic or light-detecting darkening filters may be utilized.

In various embodiments, a camera subsystem captures images of the workspace and transmits electronic image data to an image processing subsystem. The image processing subsystem drives an electronic display within the welding helmet to display the captured images of the workspace to the operator. In some embodiments, dual electronic displays are utilized to display different images to each eye of the operator. The camera subsystem may include any number of lenses and imaging sensors. Multiple cameras may provide different views of the workspace that can be stitched or otherwise com posited and/or provide different perspectives of the workspace to each electronic display viewed by the operator.

For example, images may be composited to make the operator's hands transparent to provide an unobstructed view of a welder wand, a workpiece, and/or a surrounding workspace. In some embodiments, the operator's hands, the wand of the welding equipment, and/or another visual obstruction, may be made transparent, translucent, or effectively removed from the images displayed to the operator. In some embodiments, welding gloves having markers and/or having identifiable colors may be utilized to make it easier or more efficient for the image processing subsystem to remove the operator's gloved hands from the displayed images.

In some embodiments, additional image sensors remotely positioned relative to the workspace and/or secured to the wand of the welding equipment may provide additional perspectives. In some embodiments, the additional image sensors may be used to stitch images together to make portions of the workspace transparent, translucent, or effectively removed from the images displayed to the operator.

In various embodiments, an optical filter (e.g., an auto darkening filter) attenuates the optical radiation to allow for exposure times much longer than would otherwise be possible. For example, a traditional camera sensor might capture frames of a video during the very bright welding process using exposure times on the order of 10 microseconds to 1 millisecond. The optical filter allows for exposure times to be used that are on the order of 5-30 milliseconds. The optical image stabilization system operates in conjunction with the imaging sensor to reduce motion blurring during the relatively long exposure times.

The traditional model of capturing images of bright scenes, such as a welding arc, is to decrease the exposure time. The welding arc is generated by the welder at an operational frequency (e.g., 100-400 Hz). If an exposure time (e.g., electronic or mechanical shutter) is too long, the image will be overexposed. If the exposure time is too short, the image will be underexposed. However, if the exposure time in a traditional imaging system is not synchronized with the operational frequency of the welding arc, aliasing and/or other artifacts may be introduced into the image set. For example, some images may be captured when the welding arc is in an “off” or relatively dim portion of the cycle, and other images may be captured when the welding arc is in an “on” or relatively bright portion of the cycle. The resulting video feed of images may appear to flicker or have very dark scenes. The stroboscopic aliasing of the images captured of the welding arc may result in an undesirable video feed that is difficult or even dangerous to use.

In some instances, the operational frequency of the welder may correspond directly to or even be equal to the weld light intensity cycle. For example, a welder driven with an alternating current may exhibit peak light intensity events that correspond to the negative and/or positive peaks of the alternating current. In other instances, the weld light intensity cycle may be different from the operation frequency of the welder. For example, the weld light intensity cycle may vary based on variations in weld material, the welding speed, the distance between the welding wand and the workpiece, environmental conditions, and/or other welding condition characteristics. Regardless, the term “weld light intensity cycle” is used herein to refer to the generally periodic variation in light intensity exhibited during the welding process (e.g., a stroboscopic or flickering between high intensity light and low or no light). This concept is abbreviated in many instances by use of the phrase “weld cycle,” since the weld light intensity cycle corresponds to the weld cycle in many instances.

Traditional imaging sensors for a video feed may determine that images of the welding arc and surrounding workspace should be captured at, for example, 1/8000^(th) of a second. The camera may capture 60 such images per second for a 60-frame-per-second (FPS) video feed. In such an embodiment, each frame of the 60-FPS video feed was captured using an exposure time of 1/8000^(th) of a second. The exact exposure time used may depend on the aperture of the camera and the brightness of the scene. However, due to the brightness of the welding arc, the exposure time of each frame will generally be much shorter than 1/60^(th) of a second. The resulting stroboscopic aliasing results in an undesirable or even unusable video feed.

According to various embodiments of the systems and methods described herein, the camera subsystem may include fixed shade darkening filters, auto-darkening filters, and/or tunable auto darkening filters, such as variable shade LCD filters, in front of the camera or cameras to attenuate the brightness of the welding arc. Images can then be captured for an entire 1/60^(th) of a second (relatively long exposure) and delivered as part of a 60-FPS video feed. The exact exposure time and frame rate of the video feed can be adapted for a particular application. For example, the images could be captured at 1/50^(th) of a second or 1/75^(th) of second, and the video feed could be provided at 24 FPS, 30 FPS, 60 FPS, or 120 FPS. As long as the exposure time of each image is long enough to include at least one “on” cycle of the welding arc (e.g., one-half of the weld cycle, weld light intensity cycle, and/or the operating frequency), stroboscopic aliasing can be avoided or entirely eliminated.

Thus, in a specific example, a camera subsystem may expose the image sensor for a defined percentage of the video frame time. Thus, in a system in which the image sensor is exposed for 100% of the video frame time, a 60-FPS video feed may include 60 images captured for 1/60^(th) of a second each (16.6 milliseconds). In various embodiments, optical image stabilization (e.g., digital film stabilization, sensor shifting, lens shifting, or the like) may be utilized to reduce or eliminate any motion blurring due to movement of objects in the workspace and/or movement of the camera during the relatively long exposure time. Examples of suitable optical image stabilization techniques and systems include, but are not limited to, floating orthogonal lens shift systems, sensor-shift systems, orthogonal transfer charged couple device (CCD) or complementary metal-oxide semiconductor (CMOS systems, and the like, including combinations thereof.

Thus, according to various embodiments of the presently described systems and methods, a welding helmet is described that includes a darkening layer to attenuate light prior to image capture, a camera subsystem to capture images with an exposure time longer than one cycle of the operating frequency of the welding arc, and an optical image stabilization system to reduce or eliminate motion blur due to the relatively long exposure time.

The camera subsystem may adjust an effective ISO or gain of a digital sensor and/or adjust an aperture of the camera to attain consistent exposure levels using constant long-exposure image capture. Alternatively, the camera subsystem may capture images at target exposure levels by adjusting the aperture, ISO sensor gain, and/or exposure time of each frame, while ensuring that the exposure time of each frame is longer than one cycle of the operating frequency of the welding arc.

In some embodiments, the exposure time may be set at a significant percentage (e.g., more than 40%, 50%, etc.) of the video frame period. For example, for a 30-FPS video feed, each frame may be captured with an exposure time of approximately 33 milliseconds (for 100%) or approximately 16 milliseconds (for 50%). For a 60-FPS video feed, each frame may be captured with an exposure time of approximately 16.6 milliseconds (for 100%) or approximately 11.6 milliseconds (for 70%). While the specific exposure time may not be based on the operating frequency of the welding arc, the result is that each frame of the video feed is captured with an exposure time long enough to include one or more on-cycles of the welding arc. A metal inert gas (MIG) welder may, for example, include a welding arc operating at 100 Hz with a 10-millisecond cycle, with on-cycles occurring every 5 milliseconds. Video frames (images) captured with exposure times in excess of 5 milliseconds would include at least one on-cycle.

According to various embodiments, the camera subsystem may utilize one or more imaging sensors with global electronic shutters, mechanical shutters, rolling electronic shutters, or the like. CCD and/or CMOS sensors may be utilized. Digital film sensors, including digital film sensors with integrated optical image stabilization, may be utilized as well.

In various embodiments, two electronic displays may display video feeds (e.g., stereoscopic video feeds) to the eyes of the operator at a fixed frame rate. Internal electronic displays, such as LCD and/or OLED displays, within the welding helmet, may display the video feed to the operator. The electronic displays may provide stereoscopic views to the operator. That is, each electronic display may provide a slightly different perspective to each eye of the operator. In such embodiments, the resulting video feed is effectively a three-dimensional view of the workspace.

Some of the infrastructure that can be used with embodiments disclosed herein is already available, such as: general-purpose computers, microprocessors, lens systems, cameras, image sensors, batteries, power supplies, LCD displays, OLED displays, computer programming tools and techniques, digital storage media, and communications networks. A computer or processing system may include a processor, such as a microprocessor, microcontroller, logic circuitry, or the like. The processor may include a special purpose processing device, such as an ASIC, PAL, PLA, PLD, FPGA, or other customized or programmable device. The computer or processing system may also include a computer-readable storage device, such as non-volatile memory, static RAM, dynamic RAM, ROM, CD-ROM, disk, tape, magnetic, optical, flash memory, or other computer-readable storage medium.

Aspects of certain embodiments described herein may be implemented as using microprocessors, microcontrollers, general-purpose computers, industrial-computers, FPGAs, discrete electrical components, surface mount components, or ASICs. Aspects of certain embodiments described herein may be implemented as software modules or components. As used herein, a software module or component may include any type of computer instruction or computer executable code located within or on a computer-readable storage medium. A software module may, for instance, comprise one or more physical or logical blocks of computer instructions, which may be organized as a routine, program, object, component, data structure, etc. that perform one or more tasks or implement particular abstract data types.

A particular software module may comprise disparate instructions stored in different locations of a computer-readable storage medium, which together implement the described functionality of the module. Indeed, a module may comprise a single instruction or many instructions and may be distributed over several different code segments, among different programs, and across several computer-readable storage media. Some embodiments may be practiced in a distributed computing environment where tasks are performed by a remote processing device linked through a communications network. In a distributed computing environment, software modules may be located in local and/or remote computer-readable storage media. In addition, data being tied or rendered together in a database record may be resident in the same computer-readable storage medium, or across several computer-readable storage media, and may be linked together in fields of a record in a database across a network.

Some of the embodiments of the disclosure can be understood by reference to the drawings, wherein like parts are generally designated by like numerals. The components of the disclosed embodiments, as generally described and illustrated in the figures herein, could be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the systems and methods of the disclosure is not intended to limit the scope of the disclosure, as claimed, but is merely representative of possible embodiments. Well-known structures, materials, or operations are not shown or described in detail to avoid obscuring aspects of this disclosure. In addition, the steps of a method do not necessarily need to be executed in any specific order, or even sequentially, nor need the steps be executed only once, unless otherwise specified.

FIG. 1 illustrates a block diagram of example welding mask components, subsystems, and modules, according to one embodiment. As illustrated, welding mask imaging components and electronic system 100 may include a bus 120 that connects a processor 130, a memory 140, a network interface 150, and various hardware subcomponents and computer-readable storage medium modules 170.

The hardware subcomponents and computer-readable storage medium modules 170 may include one or more of a camera subsystem 180, an image stabilization subsystem 182, an optical filter 184, a video controller 186, a digital electronic display 188, a weld cycle detection subsystem 189, and a welder interface subsystem 191.

The camera subsystem 180 may, for example, include a multipixel digital imaging sensor to capture images as frames of a video. The camera subsystem 180 may further include an integrated video controller and/or be connected to an external video controller. In some embodiments, the processor 130 may implement computer-executable instructions stored in a non-transitory computer-readable medium to implement the operations and functions described herein in connection with the video controller 186. The video controller 186 may cause the camera subsystem 180 to capture each frame of the video with an exposure time selected as a function of a weld cycle of a welder (e.g., a weld light intensity cycle, and/or the operating frequency). For example, the exposure time may be selected as a percentage of the weld cycle (e.g., as a percentage of the weld light intensity cycle). In various embodiments, the exposure time is selected to include at least one half of a weld cycle of the welder to ensure that at least one peak illumination event by the weld arc is captured during the exposure. In some instances, the exposure time may be selected as a complete duration of each frame of the video.

Specific examples of possible frame rates and exposure times include but are not limited to 24 frames per second with an exposure time of at least 40 milliseconds, 30 frames per second with an exposure time of at least 33 milliseconds, 48 frames per second with an exposure time of at least 20 milliseconds, 60 frames per second with an exposure time of at least 16 milliseconds, and 120 frames per second with an exposure time of at least 8 milliseconds. In some instances, the exposure times may be decreased slightly to accommodate for data transmission, storage, and processing times. For example, a 100% exposure time for a frame rate of 60 frames per second would mathematically 16.66 milliseconds, however the system may utilize a 84-90% exposure time of 14 or 15 milliseconds to allow some time for data transmission, storage, and processing.

Accordingly, some additional possible frame rates and exposure times include, but are not limited to 24 frames per second with an exposure time of at least 38 milliseconds, 30 frames per second with an exposure time of at least 31 milliseconds, 48 frames per second with an exposure time of at least 18 milliseconds, 60 frames per second with an exposure time of at least 14 milliseconds, and 120 frames per second with an exposure time of at least 6 milliseconds.

As noted above, traditional imaging approaches that utilize short exposures must be synchronized with the weld cycle or weld light intensity cycle to avoid stroboscopic aliasing. The approach described herein, including in conjunction with FIG. 1, can be implemented as an asynchronous video capture system that captures frames of the video asynchronously with respect to the weld cycle of the welder. In some instances, the brightness of the light generated during each weld cycle is nonlinear with respect to current. In such embodiments, the video controller 186 may cause the camera subsystem 180 to capture each frame of the video with an exposure time selected as a multiple of a half weld cycle or weld light intensity cycle of the welder to ensure that an equal number of peak illumination events are captured during each exposure. In some embodiments, the video controller 186 may cause the camera subsystem 180 to capture each frame of the video with an exposure time selected to include multiple weld cycles of the welder, with an equal number of peak illumination events captured during each exposure.

In some embodiments, the video controller 186 may receive data identifying an operational frequency of the welder. For example, a welder interface subsystem 191 may be in communication with the welder (e.g., wired or wireless) and receive information identifying an instantaneous operation frequency and/or other welder operational information. The video controller 186 may use the data to select an exposure time as a submultiple of the identified operational frequency of the welder. In other embodiments, the system may include a weld cycle detection subsystem 189 to detect a duration of each weld cycle or weld light intensity cycle. The detected weld cycle or weld light intensity cycle information may be transmitted to the video controller 186 for use in selecting an exposure time.

The image stabilization subsystem 182 may compensate for movement of the welding mask or other components during image capture. In some embodiments, the image stabilization subsystem 182 comprises an optical image stabilization lens system in which at least one lens element moves with respect to another lens element. In some embodiments, the image stabilization subsystem 182 comprises an image sensor stabilization subsystem in which the image sensor physically moves relative to a lens element of the digital imaging sensor.

The optical filter 184 attenuates at least some wavelengths of optical radiation (e.g., visible light, UV light, infrared light, etc.). The attenuation may be the same for all wavelengths or different depending on wavelength. For example, UV and infrared light may be effectively removed, while visible light may be attenuated sufficient for long-exposure imaging. In some embodiments, the optical filter is an auto-darkening filter (ADF). In some embodiments, the optical filter 184 is a tunable auto-darkening filter. The video controller 186 may tune the tunable auto-darkening filter to selectively attenuate the optical radiation to achieve a target exposure of each frame of the video for the selected exposure time.

The digital electronic display 188 may positioned within a protective shell of the welding mask or in a remote location for viewing by remote persons and/or computerized and automated welding machines. In various embodiments, the digital electronic display 188 is positioned within the welding mask and displays the video of the welding process to the operator.

In some embodiments, the video controller 186 may implement functions of a video processing system. For example, the video controller 186 may be or include a video processing subsystem to generate digitally rendered composite video using multiple frames of videos from multiple cameras. For example, the video controller 186 may digitally render a composite video to form an augmented reality (AR) video with an informational overlay. A weld monitoring subsystem may detect welding characteristics of the welding process. The information overlay may display one or more of the detected welding characteristics. For example, the informational overlay in the composite AR video may display a weld pool size, a welding current, a visual indicator to direct the operator to speed up, an indicator to slow down, a suggestion to add material, a temperature, and/or a quality metric.

As previously described, variations of the imaging systems described herein may be utilized in conjunction with automated, robotic, or computerized welding systems. In such instances, the protective elements of the mask may be unnecessary. In such cases, the welding imaging system may include the camera subsystem 180 with at least one camera to capture images as frames of a video. The camera subsystem 180 may include or operate in conjunction with the optical filter 182 to attenuate at least some wavelengths of optical radiation generated by a welder during a welding process. The camera subsystem 180 may include or operate in conjunction with an image stabilization subsystem 182 to compensate for movement of the welding mask during image capture by the camera subsystem 180. A video processing subsystem may store the video in a data store (e.g., a database, server, data storage, etc.) and/or transmit the video to a remote location for viewing and/or processing.

FIG. 2A illustrates an example of a welding mask 200 receiving optical radiation 225 during the welding of a workpiece 210 (shown as two metal plates) by a welder 205 (only a welder wand is shown). Optical radiation 225 is incident on the window 250 of the welding mask 200. As described herein, instead of a traditional window 250, the welding mask includes a multi-layer imaging system that includes a darkening optical filter, a camera subsystem to capture long-exposure images, and an image stabilization subsystem.

FIG. 2B illustrates an expanded view of three functional layers 251-253 of the “window” portion 250 of the welding mask 200, according to various embodiments. The three functional layers 251-253 may not be embodied as actual layers of a window. Instead, a first layer represents a darkening optical filter 251, such as an auto-darkening optical filter. A second layer represents an optical image stabilization layer 252. A third layer represents a camera subsystem 253 that may include one or more cameras to capture relatively long exposures. Specifically, the images captured by the cameras can have exposure times longer than would otherwise be possible with the same sensors because of the initial darkening optical filter layer 251 and optical image stabilization layer 252.

FIG. 2C illustrates a block diagram of the three functional layers 251-253 of the “window” portion 250 of the welding mask 200 described above. Specifically, the darkening filter 251 is illustrated as an initial layer to reduce the intensity of visible light generated by the welding arc and reduce or even eliminate the ultraviolet wavelengths. An optical image stabilization lens system 252 compensates for the motion of objects in the workspace and/or motion of the welding mask during image capture. Finally, a long-exposure image sensor of the camera subsystem 253 captures images having a relatively long exposure time, as described herein.

FIG. 3A illustrates a functional block diagram of a digital display welding mask 300 with long-exposure image capture, according to various embodiments. As illustrated, a darkening filter 351, optical image stabilization lens system 352, and long-exposure image sensor 353 are used to capture images on one side of a welding mask 300 (illustrated as a black bar). Inside the mask 300 (to the right of the black bar), an image processing subsystem 360 may process the images (as described in conjunction with FIG. 1) and render them for display on an electronic display 375 visible by the eye 390 or eyes of the operator within the welding mask 300.

While many of the examples described herein are provided in the context of a welding mask 300 utilizing an internal electronic display 375, it is appreciated that the presently described systems and methods may also be utilized for video recording of welding activities. For example, a video camera may be used to capture video of a welding process. The welding video system may, for example, be part of a handheld device, a fixed or mounted recording system, and/or a portable video recording system. In some examples, the welding video system may be integrated as part of personal protection equipment (PPE). The welding video system may include any number of cameras and operate according to any combination of the various systems and methods described herein.

FIG. 3B illustrates a functional block diagram of a dual-display digital welding mask 300 with long-exposure image capture, according to various embodiments. Again, a darkening filter 351, optical image stabilization lens system 352, and long-exposure image sensor 353 are used to capture images on one side of a welding mask 300 (illustrated as a black bar). Inside the mask 300 (to the right of the black bar), an image processing subsystem 360 may process the images (as described in conjunction with FIG. 1) and render them for display via two different electronic displays 375 and 376 (e.g., as a stereoscopic display) that provide images from slightly different perspectives to each eye 390 and 391 of the operator.

FIG. 4 illustrates a multi-camera welding mask 400, each camera of which includes three functional layers, according to one embodiment. As illustrated, the multi-camera welding mask 400 includes four cameras 401, 402, 403, and 404. Each of the four cameras is associated with an individual darkening filter 451, optical image stabilizing lens system 452, and a long exposure image sensor 453. In some embodiments, a single or “global” darkening filter 451 and/or single or “global” optical image stabilizing lens system 452 may be utilized in conjunction with individual long exposure image sensors of the four cameras 401, 402, 403, and 404. The workpiece 410 may be imaged by the four cameras 401, 402, 403, and 404 during the welding process. The operator may hold the workpiece 410 with a left hand 413 and a welder wand 405 with a right hand 412.

The illustrated example of four cameras in a multi-camera welding mask 400 is merely one example of many possible camera arrangements. Any number of cameras may be utilized and positioned in various locations on or off (e.g., remotely) of the welding mask 400 to capture images, frames of a video, and/or provide a direct video feed from various perspectives relative to the workpiece 410 and welder wand 405.

FIG. 5A illustrates a multi-camera welding mask 500 with a connected remote camera 505, according to one embodiment. As illustrated, four cameras 501, 502, 503, and 504 may be positioned on the welding mask 500 to capture four perspectives of the workpiece 510 during the welding process by the welder wand 505. The remote camera 505 may be connected to the processing components and other electronics of the welding mask 500 (e.g., wirelessly or via a wire). The welding mask 500 may utilize the five video feeds to render composite video for display as part of a single video feed or as dual video feeds (e.g., stereoscopic video) to the operator.

The multiple on-mask cameras 501, 502, 503, and 504 and the remote camera 505 may provide different views of the workspace and workpiece 510 that can be stitched or otherwise composited. For example, images from the multiple cameras 501-505 may be composited to make the operator's hands 512 and 513 transparent to provide an unobstructed view of the welder wand 505, the workpiece 510, and/or the surrounding workspace. In some embodiments, the operator's hands 512 and 513, the welder wand 505, and/or another visual obstruction, may be made transparent, translucent, or effectively removed from the images displayed to the operator. In some embodiments, the operator may wear welding gloves having markers (e.g., lines, colors, stripes, QR codes, etc.) and/or having identifiable colors (e.g., green) that make it easier or more efficient for the welding mask 500 to remove the operator's gloved hands from the displayed images (e.g., frames of the video feed).

FIG. 5B illustrates a composite video on an electronic display 575 generated by the multi-camera welding mask 500 of FIG. 5A, according to one embodiment. In the illustrated embodiment, the workpiece is partially obstructed by the operator's left hand 513. The right hand 512 is visible gripping the welder wand 505.

FIG. 5C illustrates an augmented composite video on the electronic display 575 generated by the multi-camera welding mask 500 of FIG. 5A. As illustrated, the left hand 513 of the operator is shown at least partially translucent so that the workpiece 510 can be viewed more clearly, according to one embodiment.

FIG. 5D illustrates an augmented composite video on the electronic display 575 with both hands 512 and 513 of the operator removed from the workpiece 510 and welder wand 505, according to one embodiment.

FIG. 6A illustrates examples of exposure times for capturing frames of a video, according to various embodiments. A legend 600 identifies shading patterns for welding cycle intensity peaks, the duration of each frame, and the duration of exposure during each frame. The horizontal axis represents time on the scale of a 100 Hz operational frequency of a welder. As illustrated, the welder shows weld cycle intensity peaks 613 (e.g., peak brightness events or weld light intensity cycle peaks) at positive and negative peaks every 5 milliseconds for the 10-millisecond wavelength.

The top graph shows an example of a 120 frame per second (FPS) video capture 611 with 1 millisecond exposures used for each frame. As illustrated, the exposure time of the first frame of the 120 FPS video capture 611 coincides with a weld cycle peak 613. However, due to a lack of synchronization and the short exposure time (e.g., less than one half of a weld cycle or weld light intensity cycle), the exposure time of the second frame of the 120 FPS video capture 611 is not aligned with a weld cycle peak 613. Accordingly, the second frame of the 120 FPS video capture 611 will be much darker than the first frame of the 120 FPS video capture 611. As such, the graph of the 120 FPS video capture 611 provides an example of a video capture approach that results in undesirable flickering or stroboscopic aliasing.

One possible approach to avoid the undesirable flickering or stroboscopic aliasing is to use a video frame rate that corresponds to the operational frequency of the welder. However, this approach requires that the relatively short exposure time be synchronized with the weld cycle peak 613. The graph of the 100 FPS video capture 612 shows relatively short, 1 millisecond exposure times. As illustrated, a lack of synchronization results in the exposure of every frame being offset with respect to the weld cycle peaks. The resulting video may be underexposed and/or not capture images of the weld arc at all.

FIG. 6B illustrates additional examples of exposure times for capturing frames of a video, according to various embodiments. According to various embodiments of the systems and methods described herein, relatively long exposures (e.g., exposures that are at least one half of a weld cycle) allow for improved video capture with correctly exposed frames without any flickering or stroboscopic aliasing. The graph of image capture at 100 FPS with 5-millisecond exposures 621 shows that that exposure of each of frames 1-5 includes exactly one complete weld cycle peak in the graph of weld cycle peaks 623.

The graph of asynchronous image capture at 100 FPS with 5-millisceond exposures 622 demonstrates that each exposure still includes one complete weld cycle peak. In some instances, the exposure may include a portion of one weld cycle peak and a portion of another weld cycle peak that additively equate to a single weld cycle peak.

FIG. 6C illustrates additional examples of exposure times for capturing frames of a video, according to various embodiments. As illustrated, a 60 FPS video capture with 5-millisecond exposures 631, a 60 FPS video capture with 10-millisecond exposures 632, an offset or asynchronous 60 FPS video capture with 5-millisecond exposures 633 all include frames with an equal number of weld peak cycles 634. Accordingly, each of these relatively long-exposure video capture schemas allows for a flicker-free video.

FIG. 6D illustrates additional examples of exposure times for capturing frames of a video, according to various embodiments. Again, weld cycle peaks 643 for a 100 Hz operation frequency are illustrated along the horizontal time axis. A synchronized 60 FPS video capture with 15-millisecond exposures 641 is illustrated in which each frame includes three weld cycle peaks. The relatively long exposure ensures that synchronization is unnecessary. Accordingly, asynchronous 60 FPS video capture with 15-millisecond exposures 642 also captures 3 weld cycle peaks in each frame.

FIG. 7 illustrates an example internal view of a welding mask 700 with dual electronic displays 775 and 776, according to one embodiment. In some embodiments, the dual electronic displays 775 and 776 may display stereoscopic images to the operator that allow for three-dimensional rendering of the welding process.

FIG. 8 illustrates an augmented video generated by the welding mask and displayed within an electronic display 875. The augmented video may include “real” elements, such as the workpiece 810 and a weld wand 805 with informational overlay elements, according to various embodiments. In the illustrated example, the informational overlay includes a speed arrow suggesting that the operator increase the welding speed. A temperature sensor may detect a weld temperature and the temperature may be overlaid as part of the informational overlay. Additionally, a weld quality indicator indicates that the weld quality is 80%.

For example, a weld monitoring subsystem may monitor the weld based on visual appearance, ultrasonic density monitoring, weld temperature consistency, and/or the like. The weld quality indicator may indicate a weld quality based on one or more weld characteristics being within a threshold range of an optimal value. The weld quality metric may be overlayed on the video feed as a percentage, a “good” or “bad” annotation, a star rating, a numerical value, a letter grade, a bar graph, and/or the like.

The examples and illustrations provided relate to specific embodiments and implementations of a few of the many possible variations. It is understood that this disclosure is not limited to the precise configurations and components disclosed herein and that some embodiments may be combined and/or elements may be omitted from described embodiments. Accordingly, many changes may be made to the details of the above-described embodiments without departing from the underlying principles of this disclosure. The following claims are part of the present disclosure, are expressly incorporated into the detailed description, and are consistent with the various embodiments or combination of embodiments described herein. The scope of the present invention should, therefore, be determined in the context of and to at least encompass the claims below. 

What is claimed is:
 1. A welding mask, comprising: a protective shell to provide physical protection to an operator of a welder; a camera subsystem with a multipixel digital imaging sensor to capture images as frames of a video; an image stabilization subsystem to compensate for movement of the welding mask during image capture; an optical filter to attenuate at least some wavelengths of optical radiation; a video controller to cause the camera subsystem to capture each frame of the video with an exposure time selected as a function of a weld light intensity cycle of a welder, such that each frame of the video includes at least one half of a weld light intensity cycle of the welder; and a digital electronic display positioned within the protective shell to display the video to the operator.
 2. The welding mask of claim 1, wherein the camera subsystem and the video controller form an asynchronous video capture system that captures frames of the video asynchronously with respect to an operating frequency of the welder.
 3. The welding mask of claim 1, wherein the camera subsystem and the video controller utilize an exposure time that is, at least approximately, a complete duration of each frame of the video.
 4. The welding mask of claim 3, wherein a frame rate and associated exposure time are selected as one of: 24 frames per second with an exposure time of at least 38 milliseconds, 30 frames per second with an exposure time of at least 32 milliseconds, 48 frames per second with an exposure time of at least 19 milliseconds, 60 frames per second with an exposure time of at least 15 milliseconds, and 120 frames per second with an exposure time of at least 7 milliseconds.
 5. The welding mask of claim 1, wherein a brightness of light generated during each weld light intensity cycle is nonlinear with respect to current, and wherein the video controller is configured to cause the digital imaging sensor to capture each frame of the video with an exposure time selected as a multiple of a half weld light intensity cycle of the welder.
 6. The welding mask of claim 1, wherein the video controller causes the digital imaging sensor to capture each frame of the video with an exposure time selected to include a single weld light intensity cycle of the welder.
 7. The welding mask of claim 1, wherein the video controller causes the digital imaging sensor to capture each frame of the video with an exposure time selected to include multiple weld light intensity cycles of the welder.
 8. The welding mask of claim 1, wherein the video controller is configured to: receive data identifying an operational frequency of the welder; and select the exposure time as a submultiple of the identified operational frequency of the welder.
 9. The welding mask of claim 8, further comprising a weld light intensity cycle detection subsystem to: detect a duration of each weld light intensity cycle of the welder, and transmit data identifying the detected weld light intensity cycle duration to the video controller.
 10. The welding mask of claim 8, further comprising a welder interface subsystem to: receive data from the welder identifying the operational frequency, and relay the data from the welder identifying the operational frequency to the video controller.
 11. The welding mask of claim 1, wherein the video controller is configured to cause the digital imaging sensor to capture the video with a frame rate that is a submultiple of the operational frequency of the welder.
 12. The welding mask of claim 1, wherein the optical filter comprises an auto-darkening filter (ADF).
 13. The welding mask of claim 1, wherein the image stabilization subsystem comprises at least one of: an optical image stabilization lens system in which at least one lens element moves with respect to another lens element, and an image sensor stabilization subsystem in which the image sensor physically moves relative to a lens element of the digital imaging sensor.
 14. The welding mask of claim 1, wherein the digital electronic display comprises a stereoscopic digital electronic display configured to display different images to each eye of the operator.
 15. The welding mask of claim 1, wherein the optical filter comprises a tunable auto-darkening filter, and wherein the video controller tunes the tunable auto-darkening filter to selectively attenuate the optical radiation to achieve a target exposure of each frame of the video for the selected exposure time.
 16. A welding mask, comprising: a protective shell to provide physical protection to an operator of a welder; a camera subsystem with a plurality of cameras to capture images as frames of videos from multiple perspectives, wherein the camera subsystem includes: at least one optical filter to attenuate at least some wavelengths of optical radiation generated during a welding process by the welder, and an image stabilization subsystem to compensate for movement of the welding mask during image capture by each of the plurality of cameras; a video controller to cause the camera subsystem to capture the frames of each respective video with exposure times selected as a function of a weld light intensity cycle of the welder, such that each frame of each video includes at least one half of a weld light intensity cycle; a video processing subsystem to generate a digitally rendered composite video using the frames of videos from the plurality of cameras; and a digital electronic display positioned within the protective shell to display the digitally rendered composite video to the operator.
 17. The welding mask of claim 16, wherein the camera subsystem and the video controller form an asynchronous video capture system that captures frames of the video asynchronously with respect to an operating frequency of the welder.
 18. The welding mask of claim 16, wherein the digitally rendered composite video renders hands of the operator at least partially transparent.
 19. The welding mask of claim 16, wherein the digitally rendered composite video comprises an augmented reality (AR) video with an informational overlay.
 20. The welding mask of claim 19, wherein the AR video includes a metronome-based image as part of the informational overlay.
 21. The welding mask of claim 19, further comprising a weld monitoring subsystem to detect at least one welding characteristic of the welding process, wherein the AR video displays the at least one welding characteristic as part of the informational overlay, and wherein the welding characteristic comprises one of a weld pool size, a welding current, a visual indicator to direct the operator to speed up, an indicator to slow down, a suggestion to add material, a temperature, and a quality metric.
 22. The welding mask of claim 16, wherein each of the plurality of cameras comprises a discrete optical filter and an independent image stabilizer, and wherein each discrete optical filter comprises a discrete auto-darkening filter (ADF).
 23. The welding mask of claim 16, wherein the camera subsystem comprises at least one remote camera and at least one integrated camera, wherein the integrated camera is integrated as part of the welding mask, and wherein the remote camera is portable to be positioned in a remote location relative to the integrated camera of the welding mask.
 24. The welding mask of claim 23, wherein the digitally rendered composite video renders an obstruction between the welding mask and a workpiece at least partially transparent.
 25. A welding imaging system, comprising: a camera subsystem with at least one camera to capture images as frames of a video, wherein the camera subsystem includes: at least one optical filter to attenuate at least some wavelengths of optical radiation generated by a welder during a welding process, and an image stabilization subsystem to compensate for movement of the welding mask during image capture by the camera subsystem; a video controller to cause the camera subsystem to capture each frame of the video with an exposure time selected as a function of a weld light intensity cycle of the welder, such that each frame of each video includes at least one half of a weld light intensity cycle; and a video processing subsystem to implement at least one of: store the video in a data store, and transmit the video to a remote location. 